Senior Data Engineer: Pipelines, Warehousing & Governance

Highmark Health; Salem (OR); Hybride; USD 103 000 - 165 000; Plein temps

Résumé du poste

enGen in the United States is seeking a senior data engineer to design, build, and maintain robust data processes across multiple systems. You will ensure reliable movement, transformation, and storage of data, collaborating with data professionals, analysts, and engineers to deliver scalable pipelines and data models.

The role requires mentoring junior engineers, applying governance and security practices, and staying current with industry trends to improve data quality and usability.

Qualifications

• Experience designing and implementing data pipelines for scalable data platforms.
• Strong knowledge of data warehousing concepts and BI analytics.
• Experience with governance, security, and data quality practices.

Responsabilités

• Design, develop, and maintain robust data processes and solutions to ensure efficient data movement and transformation across systems.
• Develop and maintain data models, databases, and data warehouses to support BI and analytics needs.
• Collaborate with IT, product, analytics, and business teams to gather requirements and provide data solutions.
• Monitor production schedules, provide updates, and report issues to leads.
• Implement data governance, security measures, and role-based access controls.

Connaissances

Data pipelines

ETL development

SQL

Data warehousing

Cloud platforms

Data governance

Data quality

Mentoring

Cross-functional collaboration

Formation

Bachelor’s degree in Computer Science or related field

Outils

Snowflake

Redshift

BigQuery

Apache Airflow

AWS Glue

Azure Data Factory

Description du poste

enGen in the United States is seeking a senior data engineer to design, build, and maintain robust data processes across multiple systems. You will ensure reliable movement, transformation, and storage of data, collaborating with data professionals, analysts, and engineers to deliver scalable pipelines and data models.

The role requires mentoring junior engineers, applying governance and security practices, and staying current with industry trends to improve data quality and usability.